1. partykit: Recursive Partytioning Toolkit- Infrastructure for representing, summarizing, and visualizing tree-structured models. It can be used for constructing or reading tree models from different sources (rpart, RWeka, PMML), sharing
functionality for print/plot/predict methods.

2. Non-Interactive Spatial Tools for Raster- S3 classes and methods for manipulation with georeferenced raster data: reading/writing, processing, multi-panel visualization.
This is near real-time version with compiled binaries. Actual sources are at GitHub: https://github.com/nplatonov/ursa

4. surveillance- The R-package 'surveillance' is a framework for the development of statistical methods for the modeling and change-point detection in time series of counts, proportions and categorical data as well as continuous-time epidemic like point process phenomena.

11. Statistical Data Preparation Indicators- During the statistical data preparation process stages of the data are archived (at least raw and the final data). Indicators on missing values, imputations and their impact help to judge the effect of the process and the quality of the final data.

12. Test for point containment in polyhedron- This project provides a function to test whether a point is contained within a closed three-dimensional polyhedron, defined by a triangular mesh. A two-dimensional version for polygons is also provided.

13. CatDyn Package for Catch Dynamics Models- Statistical models to assess fish stocks are becoming too demanding in terms of biological information. As an alternative to this trend we are developing the CatDyn project, an R package to assess fish stocks by modeling the operation of fishermen at sea.